SOURCE-LINKED INTELLIGENCE

Eye-tracking and AI for Enhanced Teaching

CORDIS · observation · Publication date unknown

E-TEACH) Recent education assessments (PIRLS, PISA) show a significant decline in reading comprehension amongst students in many European countries. The EYE-TEACH project is an initiative integrating artificial intelligence (AI) and eye-tracking (ET) that aims to transform educational practices and empower European teachers with new pedagogical skills for assessing and supporting their students' reading comprehension. The project addresses issues such as the post-COVID-19 educational challenges, mounting teacher workload and teacher shortages across Europe. Eye tracking, although not without limitations, has proven its worth in educational research, offering insights into students' reading behaviours, cognitive load, and emotional engagement. It differentiates between various levels of reader comprehension, making it a valuable tool for personalised education. Complex eye-tracking data translated into intelligible output by AI and supported by a robust ethical and data privacy framework can provide teachers with actionable insights, aiding the selection of effective pedagogical stra

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recordType

award

status

SIGNED

region

EU

value

2999981.25

unit

EUR